



"""simple docstring"""





from collections import deque
class  lowercase__  :







       '''simple docstring'''


       def __init__(				self     :    int						,							_UpperCAmelCase     :    str						,							_UpperCAmelCase     :    int						,							_UpperCAmelCase     :    int       )					->		None:


             '''simple docstring'''




             UpperCAmelCase_     					=				process_name  # process name
             UpperCAmelCase_     					=				arrival_time  # arrival time of the process
             # completion time of finished process or last interrupted time
             UpperCAmelCase_     					=				arrival_time
             UpperCAmelCase_     					=				burst_time  # remaining burst time
             UpperCAmelCase_     					=				0  # total time of the process wait in ready queue
             UpperCAmelCase_     					=				0  # time from arrival time to completion time



class  lowercase__  :







       '''simple docstring'''


       def __init__(				self     :    List[Any]						,							_UpperCAmelCase     :    int						,							_UpperCAmelCase     :    list[int]						,							_UpperCAmelCase     :    deque[Process]						,							_UpperCAmelCase     :    int						,							)					->		None:


             '''simple docstring'''




             UpperCAmelCase_     					=				number_of_queues
             # time slice of queues that round robin algorithm applied
             UpperCAmelCase_     					=				time_slices
             # unfinished process is in this ready_queue
             UpperCAmelCase_     					=				queue
             # current time
             UpperCAmelCase_     					=				current_time
             # finished process is in this sequence queue
             UpperCAmelCase_     					=				deque()



       def 	lowercase__							(				self     :    Tuple       )					->		list[str]:


             '''simple docstring'''




             UpperCAmelCase_     					=				[]
             for i in range(len(self.finish_queue       )       ):
                   sequence.append(self.finish_queue[i].process_name       )
             return sequence



       def 	lowercase__							(				self     :    Tuple						,							_UpperCAmelCase     :    list[Process]       )					->		list[int]:


             '''simple docstring'''




             UpperCAmelCase_     					=				[]
             for i in range(len(_UpperCAmelCase       )       ):
                   waiting_times.append(queue[i].waiting_time       )
             return waiting_times



       def 	lowercase__							(				self     :    List[str]						,							_UpperCAmelCase     :    list[Process]       )					->		list[int]:


             '''simple docstring'''




             UpperCAmelCase_     					=				[]
             for i in range(len(_UpperCAmelCase       )       ):
                   turnaround_times.append(queue[i].turnaround_time       )
             return turnaround_times



       def 	lowercase__							(				self     :    int						,							_UpperCAmelCase     :    list[Process]       )					->		list[int]:


             '''simple docstring'''




             UpperCAmelCase_     					=				[]
             for i in range(len(_UpperCAmelCase       )       ):
                   completion_times.append(queue[i].stop_time       )
             return completion_times



       def 	lowercase__							(				self     :    List[Any]						,							_UpperCAmelCase     :    deque[Process]       )					->		list[int]:


             '''simple docstring'''




             return [q.burst_time for q in queue]



       def 	lowercase__							(				self     :    Optional[Any]						,							_UpperCAmelCase     :    Process       )					->		int:


             '''simple docstring'''




             process.waiting_time += self.current_time - process.stop_time
             return process.waiting_time



       def 	lowercase__							(				self     :    Dict						,							_UpperCAmelCase     :    deque[Process]       )					->		deque[Process]:


             '''simple docstring'''




             UpperCAmelCase_     					=				deque()  # sequence deque of finished process
             while len(_UpperCAmelCase       ) != 0:
                   UpperCAmelCase_     					=				ready_queue.popleft()  # current process

                   # if process's arrival time is later than current time, update current time
                   if self.current_time < cp.arrival_time:
                         self.current_time += cp.arrival_time

                   # update waiting time of current process
                   self.update_waiting_time(_UpperCAmelCase       )
                   # update current time
                   self.current_time += cp.burst_time
                   # finish the process and set the process's burst-time 0
                   UpperCAmelCase_     					=				0
                   # set the process's turnaround time because it is finished
                   UpperCAmelCase_     					=				self.current_time - cp.arrival_time
                   # set the completion time
                   UpperCAmelCase_     					=				self.current_time
                   # add the process to queue that has finished queue
                   finished.append(_UpperCAmelCase       )

             self.finish_queue.extend(_UpperCAmelCase       )  # add finished process to finish queue
             # FCFS will finish all remaining processes
             return finished



       def 	lowercase__							(				self     :    List[Any]						,							_UpperCAmelCase     :    deque[Process]						,							_UpperCAmelCase     :    int       )					->		tuple[deque[Process], deque[Process]]:


             '''simple docstring'''




             UpperCAmelCase_     					=				deque()  # sequence deque of terminated process
             # just for 1 cycle and unfinished processes will go back to queue
             for _ in range(len(_UpperCAmelCase       )       ):
                   UpperCAmelCase_     					=				ready_queue.popleft()  # current process

                   # if process's arrival time is later than current time, update current time
                   if self.current_time < cp.arrival_time:
                         self.current_time += cp.arrival_time

                   # update waiting time of unfinished processes
                   self.update_waiting_time(_UpperCAmelCase       )
                   # if the burst time of process is bigger than time-slice
                   if cp.burst_time > time_slice:
                         # use CPU for only time-slice
                         self.current_time += time_slice
                         # update remaining burst time
                         cp.burst_time -= time_slice
                         # update end point time
                         UpperCAmelCase_     					=				self.current_time
                         # locate the process behind the queue because it is not finished
                         ready_queue.append(_UpperCAmelCase       )
                   else:
                         # use CPU for remaining burst time
                         self.current_time += cp.burst_time
                         # set burst time 0 because the process is finished
                         UpperCAmelCase_     					=				0
                         # set the finish time
                         UpperCAmelCase_     					=				self.current_time
                         # update the process' turnaround time because it is finished
                         UpperCAmelCase_     					=				self.current_time - cp.arrival_time
                         # add the process to queue that has finished queue
                         finished.append(_UpperCAmelCase       )

             self.finish_queue.extend(_UpperCAmelCase       )  # add finished process to finish queue
             # return finished processes queue and remaining processes queue
             return finished, ready_queue







       def 	lowercase__							(				self     :    int       )					->		deque[Process]:


             '''simple docstring'''




             for i in range(self.number_of_queues - 1       ):
                   UpperCAmelCase_					,       UpperCAmelCase_     					=				self.round_robin(
                       self.ready_queue						,							self.time_slices[i]       )
             #  the last queue has first_come_first_served algorithm
             self.first_come_first_served(self.ready_queue       )

             return self.finish_queue


if __name__ == "__main__":
  import doctest

  lowerCamelCase  			=		Process("""P1""", 0, 53)
  lowerCamelCase  			=		Process("""P2""", 0, 17)
  lowerCamelCase  			=		Process("""P3""", 0, 68)
  lowerCamelCase  			=		Process("""P4""", 0, 24)
  lowerCamelCase  			=		3
  lowerCamelCase  			=		[17, 25]
  lowerCamelCase  			=		deque([Pa, Pa, Pa, Pa])

  if len(time_slices) != number_of_queues - 1:
    raise SystemExit(0)

  doctest.testmod(extraglobs={"""queue""": deque([Pa, Pa, Pa, Pa])})

  lowerCamelCase  			=		Process("""P1""", 0, 53)
  lowerCamelCase  			=		Process("""P2""", 0, 17)
  lowerCamelCase  			=		Process("""P3""", 0, 68)
  lowerCamelCase  			=		Process("""P4""", 0, 24)
  lowerCamelCase  			=		3
  lowerCamelCase  			=		[17, 25]
  lowerCamelCase  			=		deque([Pa, Pa, Pa, Pa])
  lowerCamelCase  			=		MLFQ(number_of_queues, time_slices, queue, 0)
  lowerCamelCase  			=		mlfq.multi_level_feedback_queue()

  # print total waiting times of processes(P1, P2, P3, P4)
  print(
      F"waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}"
  )
  # print completion times of processes(P1, P2, P3, P4)
  print(
      F"completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}"
  )
  # print total turnaround times of processes(P1, P2, P3, P4)
  print(
      F"turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}"
  )
  # print sequence of finished processes
  print(
      F"sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}"
  )







from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case				:      Any   		=			logging.get_logger(__name__)

__snake_case				:      Union[str, Any]   		=			{
    """microsoft/cvt-13""": """https://huggingface.co/microsoft/cvt-13/resolve/main/config.json""",
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}



class        A__(a_							):
						"""simple docstring"""






						_A    :				Union[str, Any]       					=			'''cvt'''





						def __init__(    self  ,      _lowercase=3  ,      _lowercase=[7, 3, 3]  ,      _lowercase=[4, 2, 2]  ,      _lowercase=[2, 1, 1]  ,      _lowercase=[64, 192, 384]  ,      _lowercase=[1, 3, 6]  ,      _lowercase=[1, 2, 10]  ,      _lowercase=[4.0, 4.0, 4.0]  ,      _lowercase=[0.0, 0.0, 0.0]  ,      _lowercase=[0.0, 0.0, 0.0]  ,      _lowercase=[0.0, 0.0, 0.1]  ,      _lowercase=[True, True, True]  ,      _lowercase=[False, False, True]  ,      _lowercase=["dw_bn", "dw_bn", "dw_bn"]  ,      _lowercase=[3, 3, 3]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=[2, 2, 2]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=0.0_2  ,      _lowercase=1e-12  ,      **_lowercase  ,      )     -> Tuple:
									super().__init__(**_lowercase    )
									a_						:						str 							= num_channels
									a_						:						Optional[int] 							= patch_sizes
									a_						:						Dict 							= patch_stride
									a_						:						int 							= patch_padding
									a_						:						int 							= embed_dim
									a_						:						Tuple 							= num_heads
									a_						:						Optional[Any] 							= depth
									a_						:						str 							= mlp_ratio
									a_						:						Optional[int] 							= attention_drop_rate
									a_						:						int 							= drop_rate
									a_						:						List[Any] 							= drop_path_rate
									a_						:						List[Any] 							= qkv_bias
									a_						:						Dict 							= cls_token
									a_						:						Union[str, Any] 							= qkv_projection_method
									a_						:						List[Any] 							= kernel_qkv
									a_						:						Optional[Any] 							= padding_kv
									a_						:						Any 							= stride_kv
									a_						:						Dict 							= padding_q
									a_						:						Optional[int] 							= stride_q
									a_						:						Tuple 							= initializer_range
									a_						:						int 							= layer_norm_eps


